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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250813T095000
DTEND;TZID=America/Los_Angeles:20250813T100000
UID:siggraph_SIGGRAPH 2025_sess128_papers_264@linklings.com
SUMMARY:SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generati
 on
DESCRIPTION:Ellie Arar, Yarden Frenkel, and Daniel Cohen-Or (Tel Aviv Univ
 ersity); Ariel Shamir (Reichman University); and Yael Vinker (Computer Sci
 ence and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institu
 te of Technology (MIT))\n\nSwiftSketch, a diffusion-based model with a tra
 nsformer-decoder, generates high-quality vector sketches from images in un
 der a second. It progressively denoises stroke coordinates sampled from a 
 Gaussian distribution, effectively generalizing across various object clas
 ses. Training uses the ControlSketch Dataset,  a new synthetic high-qualit
 y image-sketch pairs created by our ControlSketch optimization method.\n\n
 Interest Area: Research & Education\n\nRecording: Livestreamed, Not Livest
 reamed, Recorded, Not Recorded\n\nRegistration Category: Full Conference, 
 Virtual Access, Wednesday\n\nSession Chair: Yael Vinker (Massachusetts Ins
 titute of Technology (MIT), MIT CSAIL)\n\n
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